Computer Vision Engineer(AI, industrial automation)| Product based Co

Seventh Contact Hiring Solutions; Pimpri; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Seventh Contact Hiring Solutions seeks an experienced Computer Vision/AI engineer to own end-to-end deployment across customer sites. You will select models, validate performance, and ensure production readiness in Linux environments.

The role requires 4–7 years of hands-on CV/AI experience in industrial settings, strong Python skills, and familiarity with cameras, lighting, and edge devices. Travel for deployments is expected.

Qualifications

• Bachelors/Masters degree in Computer Science, Software Engineering, or related fields.
• 4-7 years of experience in developing and deploying Computer Vision / Vision AI solutions, preferably in industrial or manufacturing domains.
• Strong knowledge of Computer Vision concepts including image processing, classification, object detection, segmentation, anomaly detection, and model evaluation.
• Proficiency in Linux environments and Python for AI model development, experimentation, data processing, automation, and production support.
• Hands-on understanding of industrial cameras, lenses, lighting, image acquisition systems, and edge computing hardware.
• Knowledge of manufacturing processes, automation systems, quality inspection applications, and willingness to travel for customer deployments and commissioning.

Responsibilities

• Own end-to-end Computer Vision and AI solution deployment from requirement analysis, model selection, validation, commissioning, and production acceptance.
• Develop and optimize vision AI models, image-processing techniques, datasets, and evaluation processes to achieve required accuracy and reliability.
• Collaborate with automation teams to select and integrate cameras, lenses, lighting, triggering systems, and edge computing hardware for inspection solutions.
• Deploy, configure, troubleshoot, and improve Computer Vision models in Linux-based production environments across customer manufacturing sites.
• Lead dataset management, model performance monitoring, retraining, version control, and documentation throughout the product lifecycle.
• Work closely with cross-functional teams (software, electrical, mechanical, automation, and customers) to deliver scalable AI-powered quality inspection systems.

Skills

Computer Vision

Python

Linux

Edge computing

Dataset management

Education

Bachelors/Masters in CS or software engineering

Tools

Industrial cameras

Lenses

Edge devices

Job description

Key Responsibilities:

• Own end-to-end Computer Vision and AI solution deployment from requirement analysis, model selection, validation, commissioning, and production acceptance.
• Develop and optimize vision AI models, image-processing techniques, datasets, and evaluation processes to achieve required accuracy and reliability.
• Collaborate with automation teams to select and integrate cameras, lenses, lighting, triggering systems, and edge computing hardware for inspection solutions.
• Deploy, configure, troubleshoot, and improve Computer Vision models in Linux-based production environments across customer manufacturing sites.
• Lead dataset management, model performance monitoring, retraining, version control, and documentation throughout the product lifecycle.
• Work closely with cross-functional teams (software, electrical, mechanical, automation, and customers) to deliver scalable AI-powered quality inspection systems.

Qualifications

• Bachelors/Masters degree in Computer Science, Software Engineering, or related fields.
• 4-7 years of experience in developing and deploying Computer Vision / Vision AI solutions, preferably in industrial or manufacturing domains.
• Strong knowledge of Computer Vision concepts including image processing, classification, object detection, segmentation, anomaly detection, and model evaluation.
• Proficiency in Linux environments and Python for AI model development, experimentation, data processing, automation, and production support.
• Hands-on understanding of industrial cameras, lenses, lighting, image acquisition systems, and edge computing hardware.
• Knowledge of manufacturing processes, automation systems, quality inspection applications, and willingness to travel for customer deployments and commissioning.